Lemonade is an open-source, local-first AI runtime that runs large language models directly on your hardware for complete privacy.
It supports Windows, macOS, and Linux, offering a unified interface for chat, coding agents, image generation, and speech processing.
The app manages model downloads, backend engines (like llama.cpp and vLLM), and exposes an OpenAI-compatible API for seamless app integration.
Users can self-host servers, connect via MCP protocols, and benchmark performance across different GPUs and CPUs without cloud dependency.
With 5.7k GitHub stars, it empowers developers to build private, cost-free AI applications using consumer-grade hardware.
Lemonde supports Windows, macOS, Linux and Docker.
It comes with a Model manager that enables you to download and run dozens of models, as it also works on iOS and Android.
Lemonade Features
Lemonade turns your hardware into a private, zero-cost AI server. No cloud APIs, no data leaks, just raw performance on your GPU and NPU.
- 100% Private & Free: Run state-of-the-art LLMs locally. Your data never leaves your machine.
- Multi-Modal Mastery: Handle text, code, image generation (SDXL), speech-to-text (Whisper), and TTS (Kokoro) in one unified stack.
- Hardware Optimized: Auto-detects and leverages NVIDIA CUDA, AMD ROCm/Ryzen AI, Apple Metal, and Vulkan for maximum speed.
- Universal Compatibility: Exposes standard OpenAI, Anthropic, and Ollama APIs. Plug it into Claude Code, VS Code, n8n, or anything else instantly.
- Smart Model Management: Built-in Model Manager pulls GGUF/ONNX models from Hugging Face. Supports active-standby failover and aliasing for production stability.
- Embeddable Core: Package the portable binary directly into your own apps for a seamless, white-label local AI experience.
- Cross-Platform Native: Runs seamlessly on Windows 11, macOS (Intel/Silicon), Linux (Arch, Debian, Fedora, Ubuntu), and Docker.
- Developer CLI: Manage backends, benchmark performance, and launch agents like
piorclaudewith simple terminal commands.
Who Is This App For?
- Privacy-First Developers: Engineers who need to build AI features without sending sensitive user data to third-party cloud APIs.
- Hardware Enthusiasts: Owners of NVIDIA, AMD (Ryzen AI/Radeon), or Apple Silicon machines who want to squeeze every drop of performance out of their local hardware.
- Cost-Conscious Startups: Teams looking to eliminate recurring LLM API bills by self-hosting open-source models like Qwen, Gemma, or Llama.
- AI Integrators: Users of tools like n8n, Open WebUI, or VS Code who want a local, always-on backend that speaks standard OpenAI/Ollama protocols.
- Offline-Ready Builders: Creators needing reliable AI capabilities for coding, image generation, or speech processing in environments with limited or no internet access.
License
Apache 2.0 License
